R ile analize başlarken¹

1 R hakkında

• R generation

https://rss.onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2018.01169.x

2 R yükleme

http://www.youtube.com/watch?v=XcBLEVknqvY

2.1 R-project

https://cran.r-project.org/

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2.2 RStudio

https://www.rstudio.com/

https://www.rstudio.com/products/rstudio/download/

https://moderndive.com/2-getting-started.html

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2.2.1 RStudio eklentileri

• Discover and install useful RStudio addins

https://cran.r-project.org/web/packages/addinslist/README.html

https://rstudio.github.io/rstudioaddins/

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2.3 X11

https://www.xquartz.org/

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2.4 Java OS

https://support.apple.com/kb/dl1572

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3 R zor şeyler için kolay, kolay şeyler için zor

• R makes easy things hard, and hard things easy

• Aynı şeyi çok fazla şekilde yapmak mümkün

R Syntax Comparison::CHEAT SHEET

https://www.amelia.mn/Syntax-cheatsheet.pdf

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4 R paketleri

4.1 Neden paketler var

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I love the #rstats community.
Someone is like, “oh hey peeps, I saw a big need for this mundane but difficult task that I infrequently do, so I created a package that will literally scrape the last bits of peanut butter out of the jar for you. It's called pbplyr.”
What a tribe.

— Frank Elavsky ᴰᵃᵗᵃ ᵂᶦᶻᵃʳᵈ (@Frankly_Data) July 3, 2018

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https://blog.mitchelloharawild.com/blog/user-2018-feature-wall/

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4.2 Paketleri nereden bulabiliriz

• Available CRAN Packages By Name
  https://cran.r-project.org/web/packages/available_packages_by_name.html

• Bioconductor
  https://www.bioconductor.org

• RecommendR
  http://recommendr.info/

• pkgsearch
  CRAN package search
  https://github.com/metacran/pkgsearch

• Awesome R
  https://awesome-r.com/

4.3 Kendi paket evrenini oluştur

• pkgverse: Build a Meta-Package Universe
  https://cran.r-project.org/web/packages/pkgverse/index.html

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4.4 R için yardım bulma

5 ?mean

6 ??efetch

7 help(merge)

8 example(merge)

- Vignette

![](figures/vignette.png)

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- RDocumentation
https://www.rdocumentation.org

- R Package Documentation
https://rdrr.io/

- GitHub

- Stackoverflow

https://stackoverflow.com/

- Google uygun anahtar kelime



<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script><blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">How I use <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> <br>h/t <a href="https://twitter.com/ThePracticalDev?ref_src=twsrc%5Etfw">@ThePracticalDev</a> <a href="https://t.co/erRnTG0Ujr">pic.twitter.com/erRnTG0Ujr</a></p>&mdash; Emily Bovee (@ebovee09) <a href="https://twitter.com/ebovee09/status/1028037594947485696?ref_src=twsrc%5Etfw">August 10, 2018</a></blockquote>


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![](figures/Google-package-name.png)

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![](figures/Google-start-with-R.png)

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- Awesome Cheatsheet
https://github.com/detailyang/awesome-cheatsheet

http://cran.r-project.org/doc/contrib/Baggott-refcard-v2.pdf

https://www.rstudio.com/resources/cheatsheets/


- Awesome R

https://github.com/qinwf/awesome-R#readme

https://awesome-r.com/




- Twitter

https://twitter.com/hashtag/rstats?src=hash


- Reproducible Examples

<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Got a question to ask on <a href="https://twitter.com/SlackHQ?ref_src=twsrc%5Etfw">@SlackHQ</a> or post on <a href="https://twitter.com/github?ref_src=twsrc%5Etfw">@github</a>? No time to read the long post on how to use reprex? Here is a 20-second gif for you to format your R codes nicely and for others to reproduce your problem. (An example from a talk given by <a href="https://twitter.com/JennyBryan?ref_src=twsrc%5Etfw">@JennyBryan</a>) <a href="https://twitter.com/hashtag/rstat?src=hash&amp;ref_src=twsrc%5Etfw">#rstat</a> <a href="https://t.co/gpuGXpFIsX">pic.twitter.com/gpuGXpFIsX</a></p>&mdash; ZhiYang (@zhiiiyang) <a href="https://twitter.com/zhiiiyang/status/1053006003711569920?ref_src=twsrc%5Etfw">October 18, 2018</a></blockquote><script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>





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## R paket yükleme

install.packages(“tidyverse”, dependencies = TRUE) install.packages(“jmv”, dependencies = TRUE) install.packages(“questionr”, dependencies = TRUE) install.packages(“Rcmdr”, dependencies = TRUE) install.packages(“summarytools”)

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```r
# install.packages("tidyverse", dependencies = TRUE)
# install.packages("jmv", dependencies = TRUE)
# install.packages("questionr", dependencies = TRUE)
# install.packages("Rcmdr", dependencies = TRUE)
# install.packages("summarytools")

# require(tidyverse)
# require(jmv)
# require(questionr)
# library(summarytools)
# library(gganimate)

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9 R studio ile proje oluşturma

https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects

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10 RStudio ile veri yükleme

https://support.rstudio.com/hc/en-us/articles/218611977-Importing-Data-with-RStudio

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10.1 Excel

10.2 SPSS

10.3 csv

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11 Veriyi görüntüleme

Spreadsheet users using #rstats: where's the data?#rstats users using spreadsheets: where's the code?

— Leonard Kiefer (@lenkiefer) July 7, 2018

# library(nycflights13)
# summary(flights)

View(data)

data

head

tail

glimpse

str

skimr::skim()

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12 Veriyi değiştirme

12.1 Veriyi kod ile değiştirelim

12.2 Veriyi eklentilerle değiştirme

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12.3 RStudio aracılığıyla recode

questionr paketi kullanılacak

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https://juba.github.io/questionr/articles/recoding_addins.html

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13 Basit tanımlayıcı istatistikler

summary()

mean

median

min

max

sd

table()

library(readr)
irisdata <- read_csv("data/iris.csv")

jmv::descriptives(
    data = irisdata,
    vars = "Sepal.Length",
    splitBy = "Species",
    freq = TRUE,
    hist = TRUE,
    dens = TRUE,
    bar = TRUE,
    box = TRUE,
    violin = TRUE,
    dot = TRUE,
    mode = TRUE,
    sum = TRUE,
    sd = TRUE,
    variance = TRUE,
    range = TRUE,
    se = TRUE,
    skew = TRUE,
    kurt = TRUE,
    quart = TRUE,
    pcEqGr = TRUE)

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13.1 summarytools

https://cran.r-project.org/web/packages/summarytools/vignettes/Introduction.html

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13.2 skimr

library(skimr)
skim(df)

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13.3 DataExplorer

library(DataExplorer)
DataExplorer::create_report(df)

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13.4 Grafikler

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descr(tobacco, style = 'rmarkdown')

print(descr(tobacco), method = 'render', table.classes = 'st-small')

dfSummary(tobacco, style = 'grid', plain.ascii = FALSE)

print(dfSummary(tobacco, graph.magnif = 0.75), method = 'render')

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Here, building up a #ggplot2 as slowly as possible, #rstats. Incremental adjustments. #rstatsteachingideas pic.twitter.com/nUulQl8bPh

— Gina Reynolds (@EvaMaeRey) August 13, 2018

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Dreaming of a fancy #Rstats #ggplot #dataviz but still scared of typing #code? @_pvictorr esquisse package has you covered https://t.co/1vIDXcVAAF pic.twitter.com/RlTkptnrNv

— Radoslaw Panczak (@RPanczak) October 2, 2018

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14 Rcmdr

library(Rcmdr)

Rcmdr::Commander()

• A Comparative Review of the R Commander GUI for R

http://r4stats.com/articles/software-reviews/r-commander/

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15 jamovi

https://www.jamovi.org/

https://blog.jamovi.org/2018/07/30/rj.html

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16 Sonraki Konular

• RStudio ile GitHub
• Hipotez testleri
• R Markdown ve R Notebook ile tekrarlanabilir rapor

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17 Diğer kodlar

• Diğer kodlar için bakınız: https://sbalci.github.io/

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18 Geri Bildirim

• Geri bildirim için tıklayınız: Geri bildirim formu

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1. Bu bir derlemedir, mümkün mertebe alıntılara referans vermeye çalıştım.↩︎